In From Reopen to Reinvent, distinguished education strategist Michael B. Horn delivers a provocative and eye-opening call to action for the overthrow of an education system that is not working well for any of its students. Grounded in what educators should build in its place to address the challenges that stem from widespread unmet learning needs, the book walks listeners through the design of a better path forward. It offers a prescriptive and holistic approach to the purpose of schooling, the importance of focusing on mastery for each student, and the ideal use of technology.

Decades of research demonstrate the transformative potential and the lasting legacies of a relationship-rich college experience. Critics suggest that to build connections with peers, faculty, staff, and other mentors is expensive and only an option at elite institutions where instructors have the luxury of time with students. But in this revelatory book brimming with the voices of students, faculty, and staff from across the country, Peter Felten and Leo M. Lambert argue that relationship-rich environments can and should exist for all students at all types of institutions.

For decades, college has been the only respectable way to access the world of work, despite paralyzing tuition and a dire lack of practical skills that has left 40 percent of college graduates underemployed, unfulfilled, and struggling to repay student-loan debt. Fortunately, college is not America’s only option. In Apprentice Nation, education and workforce expert Ryan Craig explores how a modern apprenticeship system will allow students and job seekers to jumpstart their careers by learning while they earn.

The United States is currently home to six generations of people. They have had vastly different life experiences and thus, one assumes, they must have vastly diverging beliefs and behaviors. But what are those differences, what causes them, and how deep do they actually run? Professor of psychology Jean Twenge does a deep dive into a treasure trove of long-running, government-funded surveys and databases to answer some questions. 

In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.